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Postdoc Data Science Remote Jobs in Princeton, NJ

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

Our full-stack Data Science Team uses Python for research and development. Our wide range of ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

MM International

Data Scientist

New York, NY · Remote

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined ...

Bread Financial

Lead Data Scientist

New York, NY · On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

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Postdoc Data Science Remote information

See Princeton, NJ salary details

$60.3K

$71.3K

$135.2K

How much do postdoc data science remote jobs pay per year?

As of Aug 8, 2026, the average yearly pay for postdoc data science remote in Princeton, NJ is $71,323.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,800.00 and $62,400.00 per year, depending on experience, location, and employer.

What is the difference between Postdoc Data Science Remote vs Data Scientist?

AspectPostdoc Data Science RemoteData Scientist
Required CredentialsPhD in Data Science, Statistics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentRemote research-focused position, often academic or research institutionRemote or on-site, industry-focused, business or tech company
Employer & Industry UsageUniversities, research labs, academic institutionsTech companies, finance, healthcare, retail, industry
Common Search & ComparisonYesYes

The main difference is that a Postdoc Data Science Remote typically requires a PhD and focuses on research in academic or research settings, whereas a Data Scientist often holds a bachelor's or master's degree and works in industry, applying data analysis to business problems. Both roles may be remote, but their work environments and expectations differ significantly.

What is a postdoc data science remote?

A Postdoc Data Science Remote position is a postdoctoral research role focused on data science, where the work can be performed entirely or mostly from a remote location rather than on-site at a university or research institution. These positions typically involve advanced research in areas such as machine learning, statistics, or computational modeling, and are intended for individuals who have recently completed a PhD. Remote postdoc roles offer flexibility in work location while still providing opportunities to collaborate with academic or industry teams, publish research, and further develop specialized expertise in data science.

What are the key skills and qualifications needed to thrive as a postdoc data science remote?

To thrive as a Postdoc Data Science Remote, you need an advanced degree (typically a Ph.D.) in a quantitative field, strong statistical analysis skills, and proficiency in programming languages such as Python or R. Familiarity with machine learning frameworks, data visualization tools, and cloud computing platforms like AWS or Google Cloud is often required. Excellent problem-solving abilities, self-motivation, and effective communication skills are essential for independent research and collaboration in a remote environment. These competencies enable you to conduct high-level research, contribute valuable insights, and efficiently collaborate with global teams despite working remotely.

What are some typical challenges faced by remote postdoc data scientists when collaborating with research teams?

Remote Postdoc Data Scientists often encounter challenges related to communication and coordination across different time zones and digital platforms. Building rapport and maintaining effective collaboration with interdisciplinary teams can require extra effort, particularly when discussing complex research concepts or troubleshooting data issues. To overcome these hurdles, it’s important to proactively schedule regular virtual meetings, document workflows clearly, and leverage collaborative tools for code and data sharing. Developing strong digital communication skills and being adaptable to various team dynamics are essential for success in this role.
What are popular job titles related to Postdoc Data Science Remote jobs in Princeton, NJ? For Postdoc Data Science Remote jobs in Princeton, NJ, the most frequently searched job titles are:
What job categories do people searching Postdoc Data Science Remote jobs in Princeton, NJ look for? The top searched job categories for Postdoc Data Science Remote jobs in Princeton, NJ are:
Postdoc Data Science Remote jobs near you
Infographic showing various Postdoc Data Science Remote job openings in Princeton, NJ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $71,323 per year, or $34.3 per hour.

Data Scientist (Remote)

Zenlaw

New York, NY • On-site, Remote

Contractor

Re-posted 8 hours ago

Job description

About us
We're on a mission to bring contracts and any other long documents to the 21st century!
We're using AI to make these documents intelligible, abstracting what matters in them and detailing their content so that humans can manipulate them easily.
We've been working on this since the beginning of 2021, and have applications in Real Estate, Finance, Insurance, and other industries. Today, we're growing fast and excited for new teammates to join us who are the best at what they do. We're passionate about building a company as diverse and creative as possible.
Position Description
At Zenlaw, we rely on data to guide our initiatives. This data helps to mold both our long-term strategy and our day-to-day operations. As a Data Scientist, you will be working with our engineering team to model complex problems and identify high-impact opportunities. You will be part of a high-energy, fast-paced team responsible for supporting initiatives and working on our ground-breaking AI models.
Our full-stack Data Science Team uses Python for research and development. Our wide range of experience includes NLP, SpaCy, Transformers, and PyTorch recommendation systems, supervised and unsupervised problems. As part of the team, you are free to use the approach you see fit while relying on your colleague's previous experience and expertise.
As a Data Scientist, you will:
  • Research new techniques and frameworks for NLP tasks
  • Design new experiments for data abstraction and categorization of sentences/paragraphs
  • Work with our lawyers to review initial results and implement pre and post-processing scripts to improve the accuracy of models
  • Run data analysis on our dataset to design potential rules for annotation.
  • Improve the architecture of data modeling and data tooling in partnership with Engineering and cross-functional business partners
  • Own your projects and use this autonomy to find creative and innovative ways of solving problems and delivering solutions.
We are looking for a passionate Data Scientist with:
  • Bachelor in Statistics, Mathematics, Computer Science, or related field; graduate degree in Data Science, Statistics, Applied Mathematics, or another quantitative field
  • 2+ years of industry work experience as an analyst, data scientist, or equivalent
  • Experience with training and deploying NLP deep learning models
  • Exceptional skills in Python, SQL, and any other programming language for data analysis and visualization.
  • Excellent written and oral English communication skills with experience evangelizing the value of leveraging data in making both strategic and product decisions
  • Experience with reporting systems and data pipeline architecture.
  • Demonstrated problem-solving experience with the ability to break down complex and unstructured problems into layman's terms
  • An online sample of your analytical and/or data visualization abilities is greatly appreciated.
    Nice to have:
    • Experience with Golang, and/or Git
    • Experience with SpaCy, Transformers, PyTorch, or similar NLP framework
    • Experience working with ontologies and knowledge graphs
    • Experience in MLOps
    • Master's Degree in Data Science, Statistics, Applied Mathematics, or another quantitative field
You care about:
  • Ownership: you easily communicate ideas, implement them, and take responsibility for your actions
  • Helping others: sharing knowledge with your colleagues is on top of your priorities
  • Fast-paced startups: you love adapting to different situations, and you know how and when to iterate fast and with high quality
  • Our product: you believe in our vision, and are willing to give your best to build the future of Zenlaw
What we offer you:
  • Entrepreneurial responsibility and flat-hierarchies
  • Ownership of your work
  • Position 100% remote
  • Open-minded variety of nationalities
  • A collaborative, open workplace
  • Team Events

This is a remote position that can be done from anywhere. Due to the remote nature of this role, we are unable to provide visa sponsorship.

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